Fastest India - Data, AI and Quantum

Today we have invited Gourab Dasgupta, Currently working as a tech lead (DS & AI) with Tata Consultancy Service. Previously worked with Cognizant and PWC as well and has explored his data science interest from coming out of a Electrical engineering background. A journey which you all can relate to if you are a non CS background student and wanna look data science as a career options….

Once again we have invited a guest who is currently working as a decision scientist in Fractal and has worked previously with HDFC AMC as a Assistant Manager. Her Name is Shubhashree Sarkar and being a part of the data talk community since she has been applying for different jobs in data science field…. You can join our community using the link http://thedatatalk.org

We have invited Samraat who is working as a Analyst in Risk Management with American Express. We are working as a community in thedatatalk.org as well and looking forward that you get the most insight out of it… here is a reference material provided by Samraat…. Resume Writing:

1. Interest Span -

- a person/HR spends 15-20 seconds going through the resume

- Prioritise, Rank, Summarise, relevant info to the job

- Education details should be put, but not at the beginning, whatever is most relevant and best selling point should be put on top

- Reverse chronological order

2. Rule of Relevancy - filtration

- Selection and elimination

- Elaborate on most relevant experience - add achievements for the relevant experience

3. Customisation

- “ I got what you need ”

- Use JD to add keywords into your Resume

- Space optimisation

4. Factual, Concise, To the point

- Career Summary

5. Super Target

Beating the Application Tracking System (ATS):

1. Single column format

2. Plain text

3. Apply to 1 job in one organisation

4. Keywords are the key - don’t add keywords that you don’t know, only keywords that can be justified if asked about them

5. Bold - keywords

6. Italics - things in a brackets or quotes or project names/title

7. Underline - certain titles, headings

8. Chronological order

9. PDF

10. Same font for all - Times New Roman, Verdana, Calimiri, Cambria - nothing less than size 10 or more than 12

Things to avoid to beat ATS:

1. Tables

2. Text boxes

3. Logos

4. Images

5. Graphics

6. Headers or footers

7. Fancy headings

Today we have invited Sasank Amavarapu who is IISc Bangalore and IIM Cal Alumni. He worked with firms like AMEX, UGRO and HDFC as a intern to Data Scientist. He is also one of our mentors in our thedatatalk.org and you can join our workshop program…

Today’s guest is Shashank Kodhati and he is currently working as a Senior Consultant for data science and engineering with EY. We have discussed a lot of important details about starting your journey as Data Science Professional. He is also our one of Mentor at thedatatalk.org ….

We have discussed here some basic concepts of computer vision, nlp and a bit of idea about metaverse in this podcast session with Arun Pratap Singh. For more please visit to thedatatalk.org

I have discussed here some major chunks of information about machine learning, AI ethics and feature engineering concept. For more feel free to join thedatatalk.org

Here you will be getting an idea about some of the more outstanding terms in data science like confusion matrix, accuracy, precision, recall and even null value operation and data verification and authentication strategies…. For getting a learning cohort for yourself do join us on thedatatalk.org

Here you learn some key metrics used in data cleaning and using those cleaning methods for different use cases.

In this episode, you get to know about tools and how you can use the tools to collect data from different sources. Requests, Selenium, Pandas and Numpy are some packages which you will understand here….